


from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class 							lowerCamelCase__						:






			"""simple docstring"""






			def __init__(				self   ,    snake_case  ):

						'''simple docstring'''


						UpperCamelCase__       =							data
						UpperCamelCase__       =							None







class 							lowerCamelCase__						:






			"""simple docstring"""






			def __init__(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							None
						UpperCamelCase__       =							None




			def __iter__(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							self.head
						while self.head:
									yield node.data
									UpperCamelCase__       =							node.next
									if node == self.head:
												break




			def __len__(				self  ):

						'''simple docstring'''


						return sum(1 for _ in self  )




			def __repr__(				self  ):

						'''simple docstring'''


						return "->".join(str(snake_case  ) for item in iter(self  )  )




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						self.insert_nth(len(self  )   ,    snake_case  )




			def 					snake_case__					(				self   ,    snake_case  ):

						'''simple docstring'''


						self.insert_nth(0   ,    snake_case  )




			def 					snake_case__					(				self   ,    snake_case   ,    snake_case  ):

						'''simple docstring'''


						if index < 0 or index > len(self  ):
									raise IndexError("list index out of range."  )
						UpperCamelCase__       =							Node(snake_case  )
						if self.head is None:
									UpperCamelCase__       =							new_node  # first node points itself
									UpperCamelCase__       =							UpperCamelCase__       =							new_node
						elif index == 0:  # insert at head
									UpperCamelCase__       =							self.head
									UpperCamelCase__       =							UpperCamelCase__       =							new_node
						else:
									UpperCamelCase__       =							self.head
									for _ in range(index - 1  ):
												UpperCamelCase__       =							temp.next
									UpperCamelCase__       =							temp.next
									UpperCamelCase__       =							new_node
									if index == len(self  ) - 1:  # insert at tail
												UpperCamelCase__       =							new_node




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.delete_nth(0  )




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return self.delete_nth(len(self  ) - 1  )




			def 					snake_case__					(				self   ,    snake_case = 0  ):

						'''simple docstring'''


						if not 0 <= index < len(self  ):
									raise IndexError("list index out of range."  )
						UpperCamelCase__       =							self.head
						if self.head == self.tail:  # just one node
									UpperCamelCase__       =							UpperCamelCase__       =							None
						elif index == 0:  # delete head node
									UpperCamelCase__       =							self.tail.next.next
									UpperCamelCase__       =							self.head.next
						else:
									UpperCamelCase__       =							self.head
									for _ in range(index - 1  ):
												UpperCamelCase__       =							temp.next
									UpperCamelCase__       =							temp.next
									UpperCamelCase__       =							temp.next.next
									if index == len(self  ) - 1:  # delete at tail
												UpperCamelCase__       =							temp
						return delete_node.data







			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return len(self  ) == 0



def 							UpperCamelCase_(					)->		None:
			UpperCamelCase__       =							CircularLinkedList()
			assert len(_A	) == 0
			assert circular_linked_list.is_empty() is True
			assert str(_A	) == ""

			try:
						circular_linked_list.delete_front()
						raise AssertionError  # This should not happen
			except IndexError:
						assert True  # This should happen

			try:
						circular_linked_list.delete_tail()
						raise AssertionError  # This should not happen
			except IndexError:
						assert True  # This should happen

			try:
						circular_linked_list.delete_nth(-1	)
						raise AssertionError
			except IndexError:
						assert True

			try:
						circular_linked_list.delete_nth(0	)
						raise AssertionError
			except IndexError:
						assert True

			assert circular_linked_list.is_empty() is True
			for i in range(5	):
						assert len(_A	) == i
						circular_linked_list.insert_nth(_A					,  i + 1	)
			assert str(_A	) == "->".join(str(_A	) for i in range(1					,  6	)	)

			circular_linked_list.insert_tail(6	)
			assert str(_A	) == "->".join(str(_A	) for i in range(1					,  7	)	)
			circular_linked_list.insert_head(0	)
			assert str(_A	) == "->".join(str(_A	) for i in range(0					,  7	)	)

			assert circular_linked_list.delete_front() == 0
			assert circular_linked_list.delete_tail() == 6
			assert str(_A	) == "->".join(str(_A	) for i in range(1					,  6	)	)
			assert circular_linked_list.delete_nth(2	) == 3

			circular_linked_list.insert_nth(2					,  3	)
			assert str(_A	) == "->".join(str(_A	) for i in range(1					,  6	)	)

			assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
						import doctest

						doctest.testmod()






import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
						import jax
						import jax.numpy as jnp
						from flax.jax_utils import replicate
						from flax.training.common_utils import shard







@slow
@require_flax
class 							lowerCamelCase__						(				unittest.TestCase   ):






			"""simple docstring"""






			def 					snake_case__					(				self  ):

						'''simple docstring'''


						super().tearDown()
						gc.collect()




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						UpperCamelCase__,   UpperCamelCase__       =							FlaxControlNetModel.from_pretrained(
						    "lllyasviel/sd-controlnet-canny"   ,    from_pt=snake_case   ,    dtype=jnp.bfloataa  )
						UpperCamelCase__,   UpperCamelCase__       =							FlaxStableDiffusionControlNetPipeline.from_pretrained(
						    "runwayml/stable-diffusion-v1-5"   ,    controlnet=snake_case   ,    from_pt=snake_case   ,    dtype=jnp.bfloataa  )
						UpperCamelCase__       =							controlnet_params

						UpperCamelCase__       =							"bird"
						UpperCamelCase__       =							jax.device_count()
						UpperCamelCase__       =							pipe.prepare_text_inputs([prompts] * num_samples  )

						UpperCamelCase__       =							load_image(
						    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png"  )
						UpperCamelCase__       =							pipe.prepare_image_inputs([canny_image] * num_samples  )

						UpperCamelCase__       =							jax.random.PRNGKey(0  )
						UpperCamelCase__       =							jax.random.split(snake_case   ,    jax.device_count()  )

						UpperCamelCase__       =							replicate(snake_case  )
						UpperCamelCase__       =							shard(snake_case  )
						UpperCamelCase__       =							shard(snake_case  )

						UpperCamelCase__       =							pipe(
						    prompt_ids=snake_case   ,    image=snake_case   ,    params=snake_case   ,    prng_seed=snake_case   ,    num_inference_steps=50   ,    jit=snake_case   ,    ).images
						assert images.shape == (jax.device_count(), 1, 768, 512, 3)

						UpperCamelCase__       =							images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]  )
						UpperCamelCase__       =							images[0, 253:256, 253:256, -1]

						UpperCamelCase__       =							jnp.asarray(jax.device_get(image_slice.flatten()  )  )
						UpperCamelCase__       =							jnp.array(
						    [0.167969, 0.116699, 0.081543, 0.154297, 0.132812, 0.108887, 0.169922, 0.169922, 0.205078]  )
						print(F'''output_slice: {output_slice}'''  )
						assert jnp.abs(output_slice - expected_slice  ).max() < 1E-2







			def 					snake_case__					(				self  ):

						'''simple docstring'''


						UpperCamelCase__,   UpperCamelCase__       =							FlaxControlNetModel.from_pretrained(
						    "lllyasviel/sd-controlnet-openpose"   ,    from_pt=snake_case   ,    dtype=jnp.bfloataa  )
						UpperCamelCase__,   UpperCamelCase__       =							FlaxStableDiffusionControlNetPipeline.from_pretrained(
						    "runwayml/stable-diffusion-v1-5"   ,    controlnet=snake_case   ,    from_pt=snake_case   ,    dtype=jnp.bfloataa  )
						UpperCamelCase__       =							controlnet_params

						UpperCamelCase__       =							"Chef in the kitchen"
						UpperCamelCase__       =							jax.device_count()
						UpperCamelCase__       =							pipe.prepare_text_inputs([prompts] * num_samples  )

						UpperCamelCase__       =							load_image(
						    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png"  )
						UpperCamelCase__       =							pipe.prepare_image_inputs([pose_image] * num_samples  )

						UpperCamelCase__       =							jax.random.PRNGKey(0  )
						UpperCamelCase__       =							jax.random.split(snake_case   ,    jax.device_count()  )

						UpperCamelCase__       =							replicate(snake_case  )
						UpperCamelCase__       =							shard(snake_case  )
						UpperCamelCase__       =							shard(snake_case  )

						UpperCamelCase__       =							pipe(
						    prompt_ids=snake_case   ,    image=snake_case   ,    params=snake_case   ,    prng_seed=snake_case   ,    num_inference_steps=50   ,    jit=snake_case   ,    ).images
						assert images.shape == (jax.device_count(), 1, 768, 512, 3)

						UpperCamelCase__       =							images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]  )
						UpperCamelCase__       =							images[0, 253:256, 253:256, -1]

						UpperCamelCase__       =							jnp.asarray(jax.device_get(image_slice.flatten()  )  )
						UpperCamelCase__       =							jnp.array(
						    [[0.271484, 0.261719, 0.275391, 0.277344, 0.279297, 0.291016, 0.294922, 0.302734, 0.302734]]  )
						print(F'''output_slice: {output_slice}'''  )
						assert jnp.abs(output_slice - expected_slice  ).max() < 1E-2


